实用急诊科干预措施,减少阿片类药物的默认处方量。

IF 1.8 3区 医学 Q2 EMERGENCY MEDICINE
Drake Gotham Johnson, Alice Y Lu, Georgia A Kirn, Kai Trepka, Yesenia Ayana Day, Stephen C Yang, Juan Carlos C Montoy, Marianne A Juarez
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引用次数: 0

摘要

导言:阿片类药物的流行是美国发病率和死亡率的主要原因。先前的研究表明,急诊科(ED)开具阿片类药物处方会以剂量依赖的方式增加阿片类药物使用障碍的发病率,而减少电子健康记录(EHR)中默认的出院阿片类药物片剂数量的系统性变化会对处方实践产生影响。然而,急诊室领导可能会对围绕干预措施的沟通所产生的影响以及干预措施是否会对不同类型的临床医生(医生、医生助理 [PA] 和执业护士)产生不同的影响感兴趣。我们实施并评估了一项质量改进干预措施,即在一个大型的、学术性的、城市的三级医疗急诊室宣布减少电子病历中常用阿片类药物的默认数量:我们收集了 2019 年 1 月 1 日至 2021 年 12 月 6 日期间所有开具阿片类药物处方的急诊室出院患者的电子病历数据,包括主诉、临床医生和阿片类药物处方的详细信息。在此期间,我们每月采集并分析数据。2021 年 3 月 29 日,我们宣布将常用阿片类处方药的 EHR 默认配药量从 20 片减少到 12 片。我们测量了干预前和干预后每次出院时阿片类药物的处方量、患者人口统计学分布以及医生间处方行为的差异性:电子病历的改变与每次出院时阿片类药物的处方量减少 14% 有关,从 14 片减少到 12 片(P = P = 0.68)或与性别有关(P = 0.65)。与医生相比,护士和助理医师平均每次开出的阿片类药物处方量更多,而且与电子病历更改相关的阿片类药物处方量出现了统计学意义上的显著下降。医生在干预后的阿片类药物处方量减少较少,但仍有显著下降:减少电子病历默认值是减少阿片类药物处方的一种有效、简单的工具,可在全国 42% 的默认值超过建议 12 片供应量的急诊室实施。考虑到临床医生之间的巨大差异,未来减少阿片类药物处方的干预措施应研究将电子病历默认值更改与针对临床医生群体或个别临床医生的针对性干预措施相结合的效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pragmatic Emergency Department Intervention Reducing Default Quantity of Opioid Tablets Prescribed.

Introduction: The opioid epidemic is a major cause of morbidity and mortality in the United States. Prior work has shown that emergency department (ED) opioid prescribing can increase the incidence of opioid use disorder in a dose-dependent manner, and systemic changes that decrease default quantity of discharge opioid tablets in the electronic health record (EHR) can impact prescribing practices. However, ED leadership may be interested in the impact of communication around the intervention as well as whether the intervention may differentially impact different types of clinicians (physicians, physician assistants [PA], and nurse practitioners). We implemented and evaluated a quality improvement intervention of an announced decrease in EHR default quantities of commonly prescribed opioids at a large, academic, urban, tertiary-care ED.

Methods: We gathered EHR data on all ED discharges with opioid prescriptions from January 1, 2019-December 6, 2021, including chief complaint, clinician, and opioid prescription details. Data was captured and analyzed on a monthly basis throughout this time period. On March 29, 2021, we implemented an announced decrease in EHR default dispense quantities from 20 tablets to 12 tablets for commonly prescribed opioids. We measured pre- and post-intervention quantities of opioid tablets prescribed per discharge receiving opioids, distribution by patient demographics, and inter-clinician variability in prescribing behavior.

Results: The EHR change was associated with a 14% decrease in quantity of opioid tablets per discharge receiving opioids, from 14 to 12 tablets (P = <.001). We found no statistically significant disparities in prescriptions based on self-reported patient race (P = 0.68) or gender (P = 0.65). Nurse practitioners and PAs prescribed more opioids per encounter than physicians on average and had a statistically significant decrease in opioid prescriptions associated with the EHR change. Physicians had a lesser but still significant drop in opioid prescribing in the post-intervention period.

Conclusion: Decreasing EHR defaults is a robust, simple tool for decreasing opioid prescriptions, with potential for implementation in the 42% of EDs nationwide that have defaults exceeding the recommended 12-tablet supply. Considering significant inter-clinician variability, future interventions to decrease opioid prescriptions should examine the effects of combining EHR default changes with targeted interventions for clinician groups or individual clinicians.

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来源期刊
Western Journal of Emergency Medicine
Western Journal of Emergency Medicine Medicine-Emergency Medicine
CiteScore
5.30
自引率
3.20%
发文量
125
审稿时长
16 weeks
期刊介绍: WestJEM focuses on how the systems and delivery of emergency care affects health, health disparities, and health outcomes in communities and populations worldwide, including the impact of social conditions on the composition of patients seeking care in emergency departments.
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